Hikvision DS-2CD2T86G2-2I 8MP Outdoor Bullet CCTV Camera 50M IR powered by Darkfighter & Acusense
Hikvision DS-2CD2T86G2-2I 8MP Outdoor Bullet CCTV Camera 50M IR powered by Darkfighter & Acusense
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Hikvision

Hikvision DS-2CD2T86G2-2I 8MP Outdoor Bullet CCTV Camera 50M IR powered by Darkfighter & Acusense

SKU: DS-2CD2T86G2-4I
Description

- 8MP resolution: 3840 x 2160 at 20fps for sharp video output.
- H.265 encoding: Supports H.265+, H.265 for efficient storage and streaming.
- IP67 waterproof: Designed for all-weather outdoor use.
- AcuSense Gen2: Human and vehicle classification to reduce false alarms by up to 95%.
- 80m IR illumination: Enhanced with Darkfighter for superior low-light performance.
$345.60 AUD $345.60 AUD $428.00 AUD
Sale 19.25% $82.40 AUD (19.25%)
Tax included. Shipping calculated at checkout.
In stock

Overview

Lens options: 2.8mm or 4mm focal length.
Color options: White or Black.
Note: Please indicate your choice in your order message.

The Hikvision HIK-2CD2T86G24I2 4MP outdoor bullet camera features IP67 weatherproofing and 80m IR night vision for robust security cameras in Australia.
Its AcuSense Gen2 technology slashes false alarms by 95% with precise people and vehicle detection ensuring clear low light surveillance.

Technical Specifications

- 1/2" progressive scan CMOS sensor for high-resolution CCTV cameras
- 4K ultra HD resolution (3840x2160) at 20fps for detailed surveillance footage
- 2.8mm fixed lens providing a wide viewing angle
- 120dB true WDR technology handles extreme lighting contrasts like bright sun and deep shadows
- DarkFighter powered for superior low-light performance in security applications
- Supports H.265+, H.265, H.264+, H.264 compression for efficient video surveillance storage
- Built-in micro SD/SDHC/SDXC slot (up to 256GB) enabling onboard storage for network cameras
- IP67 weatherproof and waterproof rating for reliable outdoor installation
- 80m infrared night vision ensuring 24/7 monitoring capability
- AI-powered human and vehicle classification alarm using deep learning for accurate detection